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espirado/README.md

Andrew Espira

Modern Infrastructure, Operational Clarity, and Confident Delivery
From cloud strategy to reliable platforms that ship at scale

I build and operate platforms leaders can trust—resilient, observable, and cost-aware. I turn complex infrastructure into repeatable systems that scale with your business.

What I Do

  • Platform Engineering & SRE: SLOs, golden paths, and paved‑road developer experience
  • Cloud Strategy & Scale: AWS/GCP foundations, governance, and cost control
  • Observability: metrics/logs/traces, executive signal, and proactive reliability
  • ML/GPU Enablement: training/inference operations, capacity planning, and right‑sizing
  • Delivery Automation: secure CI/CD, policy‑as‑code, and standardized release practices

Technical DNA

  • Reliability by Design: SLO programs, incident response, and operational runbooks
  • Observability that Matters: OpenTelemetry, actionable dashboards, and noise reduction
  • Governance with Speed: IaC, policy‑as‑code, and change safety for faster delivery
  • Cost‑Aware Architectures: right‑sizing, autoscaling, and spend transparency
  • Data & ML Foundations: reproducible pipelines and GPU capacity planning
  • Repeatability at Scale: paved roads, templates, and platform product thinking

Selected Impact

  • Proactive Model Quality Monitoring

    • Outcome: faster incident detection; improved ML service reliability
    • Results at a glance: MTTR down; early data‑drift alerts; exec dashboards
  • Executive Observability: Log Intelligence

    • Outcome: shorter triage time and measurable signal‑to‑noise improvements
    • Results at a glance: structured alerts with confidence; cost/perf tracking
  • Resilient Data Platform Foundation

    • Outcome: predictable scale and uptime under node churn
    • Results at a glance: graceful degradation; consistent performance; SLOs adopted
  • Healthcare Operations Platform

    • Outcome: compliant, audit‑ready workflows from referral to payment
    • Results at a glance: automated checkpoints; SLA/deadline alerts; integrated claims
  • Enterprise Cloud Migration

    • Outcome: reduced risk, faster time‑to‑value, standardized operations
    • Results at a glance: IaC + automated delivery; minimal downtime; steady cadence

Capabilities (Executive)

  • Cloud Strategy & Scale (AWS, GCP)
  • Container Platforms (Kubernetes, Docker)
  • Observability & SLOs (OpenTelemetry, Prometheus, Grafana)
  • Delivery Automation (GitHub Actions, Jenkins, GitOps)
  • Data Platforms & ML/GPU Enablement
  • Infrastructure as Code (Terraform, policy‑as‑code)

Technical Foundations (Quick View)

AWS GCP Kubernetes Terraform Docker Python Golang

Research Areas (In Progress)

  • Observability & Reliability: calibration (ECE/Brier), confidence‑gated alerting, risk–coverage
  • ML/GPUs & Cluster Efficiency: under‑utilization detection, wait‑time risk, right‑sizing
  • eBPF Telemetry: low‑overhead kernel/network insights for performance
  • LLMs for Ops: schema‑strict log intelligence and cost‑aware inference

Working Principles

  • Make it Observable: if we can’t see it, we can’t trust it
  • Ship Safely, Ship Often: paved roads + policy‑as‑code
  • Optimize for Outcomes: reliability, speed, and cost in balance
  • Design for Day‑2: runbooks, SLOs, and clear ownership

GitHub Stats

GitHub Stats

Let’s Connect

The best infrastructure is invisible—until you need it to do something incredible.

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